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Rachit8484

geoseo-mcp

by Rachit8484

audit_page

Audits a single page (local file or URL) to provide an SEO and GEO report including meta data, headings, links, image alt coverage, schema types, social tags, freshness signals, and a quotability score with a 0-100 overall score.

Instructions

Audit a single page (local file path or http(s) URL).

Returns a structured report with: title/meta/headings, word count, link counts, image alt coverage, JSON-LD schema types, Open Graph, Twitter Card, freshness signals, GEO-quotability score, and a list of human-readable findings. Plus a 0-100 overall score.

Examples: audit_page("seo/aa-meetings-what-to-expect.html") audit_page("https://soberpath.com/blog/quit-drinking")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Without annotations, the description effectively discloses the output (report with specific fields and a score) and that it is an audit (read-only). No side effects mentioned, but the behavior is well-specified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured: purpose first, then output contents, then examples. Every sentence adds value with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the single parameter and output schema existence, the description covers key aspects. It could mention error handling (invalid URL/path), but overall it's sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description adds critical meaning: 'source' can be a local file path or URL, with explicit examples. This fully compensates for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool audits a single page (local or URL) and lists the comprehensive report contents, differentiating it from siblings like audit_site. Examples reinforce the purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied (single page audit) but no explicit when-to-use or when-not-to-use vs alternatives like audit_site. Examples show how to call it but lack context for choosing this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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